AI tumor diagnosis and treatment level or superhum

2022-08-13
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Within 5 years, AI tumor diagnosis and treatment level or superhuman

original title: within 5 years, AI tumor diagnosis and treatment level or superhuman

malignant tumor is one of the main "killers" threatening human health, "talking about cancer discoloration" is the common feeling of many patients and their families. What is the help of new AI technology for tumor treatment? How far is it to treat tumors with AI? At the 2018 National Medical Physics Conference held in Beijing recently, experts and scholars from Stanford University, the Cancer Hospital of the Chinese Academy of Medical Sciences, the Cancer Hospital Affiliated to Fudan University and other institutions gathered together to "Outline" a new intelligent picture of tumor treatment in the future

"Ai represents the future. It integrates the medical experience and wisdom of mankind over the years, especially the data accumulated by some excellent medical institutions and experts for many years. Relying on the training of AI methods, the less developed areas can also enjoy the treatment plan of first-class experts in the future." Stanford University Professor Xing Lei said at the meeting

"Ai assisted tumor treatment is reflected in assisting doctors to identify and outline tumors and normal organs, assisting doctors to predict the treatment effect before, during and after treatment, and assisting radiotherapy physicists to design radiotherapy plans." Men Kuo, an expert in the Department of radiotherapy of the Cancer Hospital of the Chinese Academy of Medical Sciences, said that depending on the core algorithm and training nerves, specific users need to customize the network model according to their own use conditions. Artificial intelligence can be compared with stretching experiments. Intelligence can deeply learn a large number of patient data that have been sketched and endanger organs, and use the model to complete the automatic sketching of new patient targets and endanger organs

Hu Yimin, a medical physics expert and researcher at the Cancer Hospital of the Chinese Academy of Medical Sciences, believes that by learning from past cases, China's AI assisted tumor diagnosis and treatment technology can reach the level of 70% to 95% of human doctors. Not surprisingly, it can reach 100% in the next five years, or even exceed the judgment level of human doctors at this stage, greatly improving the efficiency of tumor treatment

"at present, the treatment needs of radiotherapy patients in China are huge. Artificial intelligence can help us meet the radiotherapy needs of more tumor patients with limited resources, and provide high-quality accurate radiotherapy at the same time." Li Yexiong, director of the Radiotherapy Department of the Cancer Hospital of the Chinese Academy of Medical Sciences, said that in 2017, more than 6300 patients were treated in the radiotherapy department. Doctors have been in a state of high workload, and the level of different doctors is different. Artificial intelligence will help doctors free up more time and energy to serve patients

"in radiotherapy, doctors cannot see the tumor, nor can they see the connection between the organs around the tumor. They rely on medical images." Hu Yimin said that with the development of modern medical imaging technology, traditional Chinese medicine students in tumor treatment can not only clearly locate the location of the tumor focus, but also understand the scope and evolution of the focus, which lays a foundation for more accurate analysis of the disease and is a key step in tumor treatment

Hu Weigang, deputy director of the radiotherapy center of the Cancer Hospital Affiliated to Fudan University, said that artificial intelligence can help improve the efficacy of radiotherapy and reduce toxic and side effects. Such fierce competition in China will be transmitted to the international market, which is conducive to more accurate detection and diagnosis of tumors, the formulation of personalized precision treatment strategies, and the formation of industry norms

"in the future, AI radiotherapy technology can also be used in clinical teaching to provide technical support for radiotherapy units at different levels to carry out standardized clinical services. At the same time, high-quality tumor diagnosis and treatment technology will sink to underdeveloped areas, solve problems such as imbalance of medical resources, and bring health benefits to more patients." Dai Jianrong, assistant to the president of the Cancer Hospital of the Chinese Academy of Medical Sciences and deputy director of the radiotherapy department, said. (reporter Hu waste foam granulator waste volume of 54.74 million tons) (editor in charge: Yang Xi, Tong Zongli)

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